Stochastic Substitute Trees for Real-Time Global Illumination

Wolfgang Tatzgern, Benedikt Mayr, Bernhard Kerbl, Markus Steinberger

Publikation: KonferenzbeitragPaperBegutachtung

Abstract

With the introduction of hardware-supported ray tracing and deep learning for denoising, computer graphics has made a considerable step toward real-time global illumination. In this work, we present an alternative global illumination method: The stochastic substitute tree (SST), a hierarchical structure inspired by lightcuts with light probability distributions as inner nodes. Our approach distributes virtual point lights (VPLs) in every frame and efficiently constructs the SST over those lights by clustering according to Morton codes. Global illumination is approximated by sampling the SST and considers the BRDF at the hit location as well as the SST nodes' intensities for importance sampling directly from inner nodes of the tree. To remove the introduced Monte Carlo noise, we use a recurrent autoencoder. In combination with temporal filtering, we deliver real-time global illumination for complex scenes with challenging light distributions.

Originalspracheenglisch
Seiten1-9
DOIs
PublikationsstatusVeröffentlicht - 5 Mai 2020
Veranstaltung2020 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games: I3D 2020 - Virtual, San Francisco, USA / Vereinigte Staaten
Dauer: 15 Sep. 202017 Sep. 2020

Konferenz

Konferenz2020 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Land/GebietUSA / Vereinigte Staaten
OrtVirtual, San Francisco
Zeitraum15/09/2017/09/20

ASJC Scopus subject areas

  • Human-computer interaction
  • Computergrafik und computergestütztes Design

Fingerprint

Untersuchen Sie die Forschungsthemen von „Stochastic Substitute Trees for Real-Time Global Illumination“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren